
The analysis of the optimization direction of conventional mechanical bicycle
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Abstract
With the rise of environmental awareness and the intensification of urban transportation problems, bicycles have regained attention as a green and efficient way of traveling. This thesis explores and analyzes the direction of optimizing the conventional mechanical bicycle in modern society. Using a summary review approach, the thesis focuses on the optimization potential of bicycles in terms of integrating frame design and ergonomics, personalized design, enhancing cycling efficiency, and refining products. Among other things, this thesis emphasizes the importance of frame shape design, dimensional adaptation, postural optimization, dynamic adaptation, lightweight design, aerodynamic efficiency enhancement, and product development for specific market segments. In addition, this thesis discusses the use of technology integration such as built-in Global Positioning System tracking, electronic displays, and other high-tech elements in bicycle design. Through this analysis, this paper finds that there is still a lot that can be changed in today's bicycles and that the market for bicycle sales will expand even further.
Keywords
Mechanical bicycle, Optimization strategy, Environmentally Friendly mobility
[1]. XinWei Dou. Analysis of the application of ergonomics in machinery manufacturing design[J]. Hubei Agricultural Mechanization, 2019(14):1.
[2]. XiaoFan Wu. Research and Application of Bicycle Design Methods Based on Ergonomics [D].Tianjin University,2008.DOI:10.7666/d.y1530398.
[3]. SongZan Li. Application of ergonomics in bicycle design[J]. China Bicycle, 2000(10):2.DOI:CNKI:SUN:GZXC.0.2000-10-016.
[4]. YuanCang Xu, YingMei Yuan. Ergonomic analysis and design of bicycle transmission[J]. Journal of Shaanxi University of Science and Technology: Natural Science Edition, 1993(1):7.DOI:CNKI:SUN:XBQG.0.1993-01-008.
[5]. Lei Zhang, LiFang Yan, YangMing Liu. Research on ergonomics analysis and measurement method of bicycle saddle design[J]. Packaging Engineering, 2012, 33(6):4.DOI:CNKI:SUN:BZGC.0.2012-06-033.
[6]. HaoRan Li. Research on the Application of Ergonomics in Folding Bicycle Design [D]. Sichuan Normal University [2023-11-27].DOI:CNKI:CDMD:2.1016.096255.
[7]. ZhengJiang Zhang. Research on the application of innovative design in modern packaging machinery[J]. Digital Design, 2019, 000(009):266-267.
[8]. Wei Zhang. Exploration of the use of automation technology in mechanical design[J]. Engineering Technology: Digest Edition.00019-00019[2023-11-27].
[9]. YiZhen Peng, LianLin Peng. A method for improving the efficiency of a bicycle drive:CN202111624791.1[P].CN202111624791.1[2023-11-27].
[10]. DongHua Wu. Application of ergonomics in cycling--Effects of ergonomic adjustment of cycling saddle and handlebar on optimizing cycling actions[J]. Journal of Nanjing Institute of Physical Education:Natural Science Edition, 2013(1):5.DOI:CNKI:SUN:NTXZ.0.2013-01-006.
[11]. Jin Dong. Research on Marketing Strategy of Private Bicycle Enterprises--Taking Tianjin Fujitec Bicycle Co. Tianjin University [2023-11-27].
[12]. XiaoJun Nie, LiZhong Wen, ZhiXing Wu. Analysis of Electric Bicycle Market in Nanning[J]. Journal of Guangxi Normal University: Philosophy and Social Science Edition, 2010(S2):4.DOI:CNKI:SUN:SYXI.0.2010-S2-005.
[13]. SuYa Tang. Development status of electric power assisted vehicle and its market prospect[J]. Micromotor, 1997, 30(4):3.DOI:CNKI:SUN:WDJZ.0.1997-04-007.
[14]. AnGong Hunag. On the Development and Future of Intelligent Status of Electric Bicycle[J]. Chinese Science and Technology Journal Database Social Sciences:00009-00009[2023-11-27].
[15]. Zi Mai. E-bike - the road ahead is winding and the market outlook is bright[J]. Modern Home Appliances2003(1):1.DOI:CNKI:SUN:XDJD.0.2003-01-027.
Cite this article
Jin,C. (2024). The analysis of the optimization direction of conventional mechanical bicycle. Applied and Computational Engineering,65,174-179.
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